Energy
Co-ops and utilities sit on years of forecasts, market data, and telemetry that could be earning their keep. We're putting that history to work right now — starting on the trading floor.
Underway now
A six-month Data & AI Acceleration Program with a member-owned generation & transmission cooperative: fifteen candidate use cases prioritized on one map, three funded and in motion with the Power Marketing team.
Every load, price, and generation forecast, graded continuously — accuracy, bias, drift. You learn which models to trust before money rides on them. This is the measurement layer that makes the other two defensible.
The approach: predictive AI, MLOps
Market price forecasts for the trading desk, built on that measurement layer and run in shadow mode beside the current process — until the numbers earn the desk's trust, not before.
The approach: predictive AI
Decision support for real-time dispatch — the highest operational risk in the portfolio, which is why it runs as a shadow-mode prototype with a human on every decision. Trust is staged, never assumed.
The approach: decision-support AI
The three compound on each other: the measurement layer makes the price forecasts trustworthy, and the same evaluation discipline feeds the dispatch decision support.
The wider map
The rest of the fifteen-use-case map. Every one starts the same way: ranked against your data, your risk, and your ROI — not our preferences.
Plain-language answers from the regulations your team lives in, with citations you can check.
Practice NERC, EPA, and OSHA audits before the real one shows up with a clipboard.
Catch bad telemetry before it corrupts settlements, state estimation, and every model downstream.
Behavioral analytics across IT and OT, tuned so the SOC chases threats instead of noise.
Fewer nuisance alarms in the control room, faster escalation of the ones that matter.
Know what your power purchase agreements are actually worth before the next negotiation.
Work the interconnection queue faster without cutting corners on the engineering.
Your maps, checked against what's actually standing in the field.
Better commitment decisions, with humans holding the gate on every one.
Semi-automated patching that respects how sensitive OT environments really are.
Advanced process control, staged behind safety review — never bravado.
A living model of the grid that the other use cases plug into and learn from.
